Autotrain compatible Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/BeaverAI/Fook-Yi-34B-32K-v1a
Fook Yi 34B 32K V1a Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Fook Yi 34B 32K V1a Parameters and Internals
| LLM Name | Fook Yi 34B 32K V1a |
| Repository 🤗 | https://huggingface.co/BeaverAI/Fook-Yi-34B-32K-v1a |
| Model Size | 34b |
| Required VRAM | 69.2 GB |
| Updated | 2024-08-09 |
| Maintainer | BeaverAI |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Fook Yi 34B 32K V1a
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| 34B Beta | 195K / 69.2 GB | 8887 | 63 |
| Smaug 34B V0.1 | 195K / 69.2 GB | 9002 | 62 |
| Bagel Hermes 34B Slerp | 195K / 68.9 GB | 8984 | 1 |
| Yi 34B 200K | 195K / 68.9 GB | 11151 | 316 |
| Casual Magnum 34B | 195K / 68.8 GB | 8 | 1 |
| Bagel 34B V0.2 | 195K / 68.7 GB | 1649 | 41 |
| Yi 34B 200K AEZAKMI V2 | 195K / 69.2 GB | 389 | 12 |
| Smaug 34B V0.1 ExPO | 195K / 69.2 GB | 8678 | 0 |
| Bagel DPO 34B V0.5 | 195K / 68.7 GB | 8674 | 17 |
| Faro Yi 34B | 195K / 69.2 GB | 9039 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than BeaverAI/Fook-Yi-34B-32K-v1a .
Rank the Fook Yi 34B 32K V1a Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124